AI · alternatives · 2026
24 alternatives to Modulate Velma Preview
Velma: Beyond transcripts, into true understanding.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Premium AI voice quality without the premium price tag.
2025 · async.com · its alternatives →
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Luke from ElevenLabs here. We just released Scribe Realtime v2, our new real-time Speech to Text model. We rebuilt it from the ground up around a new architecture that uses predictive transcription – it anticipates the next likely word before it’s spoken. That makes it both fast (around 150 ms latency) and highly accurate. Scribe v2 Realtime outperforms every low latency transcription model across 30 commonly used EU and Asian languages – 93.5% accuracy, compared to Gemini 2.5 Flash (91.4%), GPT-4o MiniTranscribe (90.7%), and Deepgram Nova 3 (85%). It supports 90+ languages including…
2025 · elevenlabs.io · its alternatives →
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VELS▲187Voice-enabled learning simulations for learning and training
2024 · kaiden.ai · its alternatives →
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Lightning V3▲311Add AI Voice & Chat Agents directly to your website.
Apr 2026 · smallest.ai · its alternatives →
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AI to make spoken audio sound professional
2024 · podcast.adobe.com · its alternatives →
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Hey there, I’m Brian. I've been shipping conversational models over here at Tavus for the past two years. I want to tell you about our new audio-understanding model: Sparrow-2! It’s a new category of model and a unique new approach to conversational audio. Earlier this year we launched Sparrow-1, (at the time) our SoTA turn taking model. Since our Sparrow-1 launch, I’ve spent a lot of time listening to humans talking and trying to really understand how people know when to talk, when to listen, and when to wait. I’ve also been hunting down failure modes of the current SoTA models. And while…
2024 · tavus.io · its alternatives →
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The most expressive Text to Speech model ever
2025 · elevenlabs.io · its alternatives →
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I built a voice agent from scratch that averages ~400ms end-to-end latency (phone stop → first syllable). That’s with full STT → LLM → TTS in the loop, clean barge-ins, and no precomputed responses. What moved the needle: Voice is a turn-taking problem, not a transcription problem. VAD alone fails; you need semantic end-of-turn detection. The system reduces to one loop: speaking vs listening. The two transitions - cancel instantly on barge-in, respond instantly on end-of-turn - define the experience. STT → LLM → TTS must stream. Sequential pipelines are dead on arrival for natural…
Mar 2026 · ntik.me · its alternatives →
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Audioscribe▲288Free and open-source AI to turn voice into structured notes
2024 · audioscribe.wordware.ai · its alternatives →
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Sesame▲196Conversational speech model that achieves voice presence
2025 · sesame.com · its alternatives →
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First TTS model to support all 22 Indic languages + English
2024 · its alternatives →
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Najva▲147Your free AI-powered voice assistant for Mac
2024 · bardiakhosravi.gumroad.com · its alternatives →
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Our goal with this project is to build a completely open source, state of the art turn detection model that can be used in any voice AI application. I've been experimenting with LLM voice conversations since GPT-4 was first released. (There's a previous front page Show HN about Pipecat, the open source voice AI orchestration framework I work on. [1]) It's been almost two years, and for most of that time, I've been expecting that someone would "solve" turn detection. We all built initial, pretty good 80/20 versions of turn detection on top of VAD (voice activity detection) models. And…
2025 · github.com · its alternatives →
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Hi HN, OpenAI recently released a model for automatic speech recognition called Whisper [0]. I decided to reimplement the inference of the model from scratch using C/C++. To achieve this I implemented a minimalistic tensor library in C and ported the high-level architecture of the model in C++. The entire code is less than 8000 lines of code and is contained in just 2 source files without any third-party dependencies. The Github project is here: https://github.com/ggerganov/whisper.cpp With this implementation I can very easily build and run the model - “make…
2022 · github.com · its alternatives →
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Highly expressive and natural speech generation model
2025 · microsoft.ai · its alternatives →
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I wanted to share our new speech to text model, and the library to use them effectively. We're a small startup (six people, sub-$100k monthly GPU budget) so I'm proud of the work the team has done to create streaming STT models with lower word-error rates than OpenAI's largest Whisper model. Admittedly Large v3 is a couple of years old, but we're near the top the HF OpenASR leaderboard, even up against Nvidia's Parakeet family. Anyway, I'd love to get feedback on the models and software, and hear about what people might build with it.
Feb 2026 · github.com · its alternatives →
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The most accurate streaming speech model for voice agents.
Mar 2026 · assemblyai.com · its alternatives →
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Power enterprise voice solutions with Deepgram’s Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Real-time, accurate, and built for scale.
2015 · lexika.io · its alternatives →
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End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow - GitHub - zzw922cn/Automatic_Speech_Recognition: End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
2017 · github.com · its alternatives →
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